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1.
SA Chula MENG Fanhao LUO Min LI Chenhao WANG Mulan ADIYA Saruulzaya BAO Yuhai 《干旱区科学》2021,13(4):332-349
Snow cover is an important water source for vegetation growth in arid and semi-arid areas,and grassland phenology provides valuable information on the response of terrestrial ecosystems to climate change.The Mongolian Plateau features both abundant snow cover resources and typical grassland ecosystems.In recent years,with the intensification of global climate change,the snow cover on the Mongolian Plateau has changed correspondingly,with resulting effects on vegetation growth.In this study,using MOD10A1 snow cover data and MOD13A1 Normalized Difference Vegetation Index(NDVI)data combined with remote sensing(RS)and geographic information system(GIS)techniques,we analyzed the spatiotemporal changes in snow cover and grassland phenology on the Mongolian Plateau from 2001 to 2018.The correlation analysis and grey relation analysis were used to determine the influence of snow cover parameters(snow cover fraction(SCF),snow cover duration(SCD),snow cover onset date(SCOD),and snow cover end date(SCED))on different types of grassland vegetation.The results showed wide snow cover areas,an early start time,a late end time,and a long duration of snow cover over the northern Mongolian Plateau.Additionally,a late start,an early end,and a short duration were observed for grassland phenology,but the southern area showed the opposite trend.The SCF decreased at an annual rate of 0.33%.The SCD was shortened at an annual rate of 0.57 d.The SCOD and SCED in more than half of the study area advanced at annual rates of 5.33 and 5.74 DOY(day of year),respectively.For grassland phenology,the start of the growing season(SOS)advanced at an annual rate of 0.03 DOY,the end of the growing season(EOS)was delayed at an annual rate of 0.14 DOY,and the length of the growing season(LOS)was prolonged at an annual rate of 0.17 d.The SCF,SCD,and SCED in the snow season were significantly positively correlated with the SOS and negatively correlated with the EOS and LOS.The SCOD was significantly negatively correlated with the SOS and positively correlated with the EOS and LOS.The SCD and SCF can directly affect the SOS of grassland vegetation,while the EOS and LOS were obviously influenced by the SCOD and SCED.This study provides a scientific basis for exploring the response trends of alpine vegetation to global climate change. 相似文献
2.
花绒寄甲Dastarcus helophoroides是防治多种蛀干害虫天牛的重要天敌,为了解决人工大量繁育花绒寄甲的技术问题,本文选用大麦虫Zophobas atratus蛹作为繁育花绒寄甲幼虫的替代寄主,利用配置的人工饲料饲喂成虫,在实验室中连续饲养4代花绒寄甲,统计分析所繁育出的每代花绒寄甲成虫的产卵量、产卵前期时长、雌雄性比、成虫体长和体宽、体质量、卵的孵化率以及其后代幼虫的寄生率等,分析人工饲料和替代寄主对室内连续多代繁育的花绒寄甲繁殖生物学的影响。结果表明:花绒寄甲成虫的体长、体宽、体质量随着室内饲养代数的增加而减小;花绒寄甲成虫的产卵前期随着饲养代数的增加而延长,但后一种情况通过在饲料中添加维生素可有效解决。随着室内饲养花绒寄甲代数的增加和人工繁育时间的延长,平均每头花绒寄甲雌虫的产卵量增加;使用替代寄主繁殖4代后出现成虫雌雄性比下降,不符合1:1的情况。室内饲养4代的花绒寄甲卵的孵化率和初孵幼虫的寄生率几乎没有影响。通过对各个繁殖生物学指标的比较发现,饲喂改良人工饲料的花绒寄甲成虫的产卵前期在饲养多代后能明显缩短;利用大麦虫蛹繁育出的花绒寄甲后代雄虫数量明显多于雌虫;相反,利用改良人工饲料与花绒寄甲原始寄主松褐天牛幼虫配合使用,繁育出的第2、3代雌虫数量明显多于雄虫,差异显著。综上所述,利用大麦虫作为替代寄主会导致花绒寄甲后代雌雄性比下降,但可以通过改进饲料配方和利用原寄主饲养,在室内饲养多代后对花绒寄甲繁殖生物学的各项指标影响不大。因此,利用大麦虫和人工饲料等饲养技术综合应用,能够在室内人工规模化繁育花绒寄甲。 相似文献
3.
Coal mining has led to serious ecological damages in arid desert region of Northwest China. However, effects of climatic factor and mining activity on vegetation dynamics and plant diversity in this region remain unknown. Wuhai City located in the arid desert region of Northwest China is an industrial city and dominated by coal mining. Based on Landsat data and field investigation in Wuhai City, we analyzed the vegetation dynamics and the relationships with climate factors, coal mining activity and ecological restoration projects from 2000 to 2019. Results showed that vegetation in Wuhai City mostly consisted of desert plants, such as Caragana microphylla, Tetraena mongolica and Achnatherum splendens. And the vegetation fractional coverage(VFC) and greenness rate of change(GRC) showed that vegetation was slightly improved during the study period. Normalized difference vegetation index(NDVI) was positively correlated with annual mean precipitation, relative humidity and annual mean temperature, indicating that these climate factors might play important roles in the improved vegetation. Vegetation coverage and plant diversity around the coal mining area were reduced by coal mining, while the implementation of ecological restoration projects improved the vegetation coverage and plant diversity. Our results suggested that vegetation in the arid desert region was mainly affected by climate factors, and the implementation of ecological restoration projects could mitigate the impacts of coal mining on vegetation and ecological environment. 相似文献
4.
土壤电导率是表征土壤水溶性盐的一个重要指标,可反映土壤盐渍化程度。为了研究高寒草甸退化对土壤电导率的影响,以三江源区未退化高寒草甸和退化高寒草甸为研究对象,系统分析了退化高寒草甸的植被特征和土壤特征与土壤电导率的相互关系。结果表明:高寒草甸退化会对土壤电导率产生显著负影响,且土壤电导率与评价高寒草甸的退化指标植被盖度、地上生物量、土壤有机质、土壤全氮含量表现出一致的变化趋势。因而,认为高寒草甸的退化是会引起土壤电导率的变化,土壤电导率作为土壤盐渍化程度的衡量指标,亦可作为评价草甸退化的客观指标之一。 相似文献
5.
为研究菜豆种子在超干处理条件下抗老化能力,以菜豆品种‘将军’、‘紫冠’、‘热那亚’为试验材料,采用硅胶脱水的方法制备不同含水量的种子,并对不同程度超干处理的菜豆种子进行人工老化,对老化后种子发芽率、发芽指数、种子活力及生理指标进行测定,进一步讨论菜豆种子的最适含水量。结果表明,‘将军’种子含水量降至5.78%~6.95%时,种子各指标在老化后保持在较高水平;‘紫冠’种子含水量为5.35%~6.89%时,老化后各指标均高于自然干燥种子,且差异显著;‘热那亚’种子含水量为5.01%~6.15%时,老化后各发芽指标、热稳蛋白含量均高于自然干燥种子。说明超干保存菜豆种子具有一定的可行性。 相似文献
6.
7.
Robert Nikolaus Malwina Schafft Andreas Maday Thomas Klefoth Christian Wolter Robert Arlinghaus 《水产资源保护:海洋与淡水生态系统》2021,31(1):153-172
- Humanity is facing a biodiversity crisis, with freshwater-associated biodiversity in a particularly dire state. Novel ecosystems created through human use of mineral resources, such as gravel pit lakes, can provide substitute habitats for the conservation of freshwater and riparian biodiversity. Many of these artificial ecosystems are subject to a high intensity of recreational use, however, which may limit their biodiversity potential.
- The species richness of several taxa (plants, amphibians, dragonflies, damselflies, waterfowl, and songbirds) was assessed and a range of taxonomic biodiversity metrics were compared between gravel pit lakes managed for recreational fisheries (n = 16) and unmanaged reference lakes (n = 10), controlling for non-fishing-related environmental variation.
- The average species richness of all the taxa examined was similar among lakes in both lake types and no substantial differences in species composition were found when examining the pooled species inventory. Similarly, there were no differences between lake types in the presence of rare species and in the Simpson diversity index across all of the taxa assessed.
- Variation in species richness among lakes was correlated with woody habitat, lake morphology (surface area and steepness), and land use, but was not correlated with the presence of recreational fisheries. Thus, non-fishing-related environmental variables had stronger effects on local species presence than recreational fisheries management or the presence of recreational anglers.
- Collectively, no evidence was found that anglers and recreational fisheries management constrain the development of aquatic and riparian biodiversity in gravel pit lakes in the study region; however, the conservation of species diversity in gravel pit lakes could benefit from an increasing reliance on habitat enhancement activities.
8.
自2006年以来,长江豚类极度濒危的生存状况得到广泛关注,在其自然保护区实施一系列生态修复工程,为镇江长江豚类省级自然保护区内的江豚提供良好的生存环境。于2015—2018年在和畅洲水域建设生态浮岛、人工鱼巢和放流底栖动物进行水域生态修复,对生态修复工程进行跟踪监测和效果评价。结果表明:生态浮岛的建设可提高区域内浮游植物和浮游动物的生物多样性和群落结构复杂程度;人工鱼巢对产黏性卵鱼类具有一定增殖效果,增殖种类主要为鲤、鲫、䱗和黄尾鲴;生态浮岛和人工鱼巢的建设对鱼类均有较好的聚集效果;底栖动物增殖放流显著增加了放流物种的丰度、生物量及保护区底栖动物群落生物量,增殖放流效果评价为中等。该自然保护区水域生态修复效果明显,为工程施工影响下水生生物保护区生态修复提供科学依据。 相似文献
9.
基于无人机多时相植被指数的冬小麦产量估测 总被引:1,自引:0,他引:1
通过无人机搭载多光谱相机,对不同水分亏缺条件下冬小麦多个生育期进行遥感监测,采用不同种类多光谱植被指数表征冬小麦的生长特征,分析了植被指数与冬小麦产量的相关关系,并利用多时相植被指数构建产量估测数据集,采用偏最小二乘回归、支持向量机回归和随机森林回归3种机器学习算法进行冬小麦产量估测。结果表明,随着冬小麦的生长,多个植被指数与产量的相关性不断增强,灌浆末期相关系数达到0.7,植被指数与产量的线性回归决定系数也达到最大。多时相植被指数反映了冬小麦生长的变化特征,进一步提高了冬小麦产量估测精度,采用开花期和灌浆初期的多时相植被指数进行估产比采用单个生育期的植被指数估测产量的精度高,采用偏最小二乘回归模型的估测精度R2提高约0.021,支持向量机回归模型R2提高约0.015,随机森林回归模型R2提高约0.051。采用灌浆末期的多时相植被指数,3种模型均有较高的估测精度,偏最小二乘回归模型估测精度最高时的R2、RMSE分别为0.459、1 822.746 kg/hm2,支持向量机回归模型估测精度最高时的R2、RMSE分别为0.540、1 676.520 kg/hm2,随机森林回归模型估测精度最高时的R2、RMSE分别为0.560、1 633.896 kg/hm2,本文数据集训练的随机森林回归模型估测精度最高,且稳定性更好。 相似文献
10.